NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fuelled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Machine Learning training, inference and NVIDIA AI Services. We are working across all layers of the hardware/software stack, from GPU architecture to Machine Learning Framework, to achieve peak performance. This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing company that is leading the AI revolution across multiple domains. Work with world class software engineers to implement blazingly fast SOTA machine learning models that help understanding the end-to-end performance of NVIDIA’s DL software and hardware stack. Work on most powerful, enterprise-grade GPU clusters capable of hundreds of Petaflops and on unreleased hardware before anyone in the world.
What you'll be doing:
- Implement machine learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple ML frameworks (PyT, JAX, TF2, DGL and others)
- Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities.
- Analyze, profile, and optimize machine learning workloads on pioneering hardware and software platforms.
- Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the design, usability and performance of models.
- Lead best-practices for building, testing, and releasing ML software
What we need to see:
- 8+ years of experience in ML model implementation and SW Development
- MS or PhD degree in Computer Science, Computer Architecture, Mathematics, Physics or related technical field or equivalent experience
- Excellent Python programming skills, extensive knowledge of at least one ML Framework
- Strong problem solving and analytical skills
- Algorithms and ML fundamentals
- Experience with Git or other source-control systems.
- Published papers, patents or articles
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!